INFO 4940/5940: Applied Machine Learning: Methods and Applications

This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.

WEEK	DATE	TOPIC	PREPARE	Prepare (R)	Prepare (Python)	MATERIALS	DUE
1	Tue, Aug 26	Welcome to INFO 4940/5940	👩‍💻 Login to Cornell’s GitHub server			📽️ slides 01
	Thu, Aug 28	Case study in ML: Property assessment in Cook County	📄 Automated valuation model for all class 200 residential properties in Cook County Read the sections on Model Overview, Ongoing Issues, and FAQs			📽️ slides 02 ⌨️ ae 01 ⌨️ hw 00
2	Tue, Sep 2	Make a model	📙 isl - ch 2.1	📗 tmwr - ch 1-2, 4, 6 This will help you learn the {tidymodels} syntax. You can heavily skim chapters 1-2, 4.	📕 pdsh - ch 5.2 - introducing Scikit-learn	📽️ slides 03 ⌨️ ae 02
	Wed, Sep 3					✅ hw 00 - Python ✅ hw 00 - R	HW 00 by 11:59pm
	Thu, Sep 4	Use your data	📙 isl - ch 5.1	📗 tmwr - ch 5, 10	🔗 scikit-learn documentation - 3.1	📽️ slides 04 ⌨️ ae 03 ⌨️ hw 01
3	Tue, Sep 9	Build better training data	📙 aml - ch 6	📗 tmwr - ch 8	📕 pdsh - ch 5.5 - Feature engineering 🔗 scikit-learn documentation - 7.1	📽️ slides 05 ⌨️ ae 04
	Wed, Sep 10						HW 01 by 11:59pm
	Thu, Sep 11	Build better training data	📙 aml - ch 5, 8.1-.3
4	Tue, Sep 16	Tune your workflows	To be posted	To be posted	To be posted
	Thu, Sep 18	Evaluate models using appropriate metrics	To be posted	To be posted	To be posted
5	Tue, Sep 23	Feature selection/reduction	To be posted	To be posted	To be posted
	Thu, Sep 25	Identify + collect data	To be posted	To be posted	To be posted
6	Tue, Sep 30	Exploratory analysis	To be posted	To be posted	To be posted
	Thu, Oct 2	Preprocess your data	To be posted	To be posted	To be posted
7	Tue, Oct 7		To be posted	To be posted	To be posted
	Thu, Oct 9	No class (out-of-town)	To be posted	To be posted	To be posted
8	Tue, Oct 14	No class (Fall Break)	To be posted	To be posted	To be posted
	Thu, Oct 16	Document models	To be posted	To be posted	To be posted
9	Tue, Oct 21	Version and deploy models using APIs	To be posted	To be posted	To be posted
	Thu, Oct 23	Publish APIs using Docker + cloud hosting	To be posted	To be posted	To be posted
10	Tue, Oct 28	An introduction to LLMs	To be posted	To be posted	To be posted
	Thu, Oct 30	Prompt design	To be posted	To be posted	To be posted
11	Tue, Nov 4	Structured data	To be posted	To be posted	To be posted
	Thu, Nov 6	Tool/function calling	To be posted	To be posted	To be posted
12	Tue, Nov 11	An AI guided introduction to Shiny	To be posted	To be posted	To be posted
	Thu, Nov 13	Creating interactive chat bots with Shiny	To be posted	To be posted	To be posted
13	Tue, Nov 18	Interactive dashboards powered by LLMs	To be posted	To be posted	To be posted
	Thu, Nov 20		To be posted	To be posted	To be posted
14	Tue, Nov 25		To be posted	To be posted	To be posted
	Thu, Nov 27	No class (Thanksgiving Break)	To be posted	To be posted	To be posted
15	Tue, Dec 2		To be posted	To be posted	To be posted
	Thu, Dec 4	Wrap-up: Where to go from here	To be posted	To be posted	To be posted